Analytics Vidhya

FEBRUARY 8, 2023

source: svitla.com Introduction Before jumping to the data warehouse interview questions, let’s first understand the overview of a data warehouse. The data is then organized and structured […] The post Data Warehouse Interview Questions appeared first on Analytics Vidhya.

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Data Warehouse Analytics Analytics Data Engineering 240

Analytics Vidhya

JUNE 2, 2022

Introduction The following is an in-depth article explaining what data warehousing is as well as its types, characteristics, benefits, and disadvantages. What is a data warehouse? The post An Introduction to Data Warehouse appeared first on Analytics Vidhya. Why is […].

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Data Warehouse Data Science Analytics Analytics 312

Analytics Vidhya

SEPTEMBER 28, 2022

DHW, short for Data Warehouse, was presented first by great IBM researchers Barry Devlin and Paul […]. The post Data Warehouse for the Beginners! IBM is one name that easily enters the picture whenever long history in computer science is involved. appeared first on Analytics Vidhya.

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Data Warehouse Computer Science Computer Science Data Science 278

Analytics Vidhya

SEPTEMBER 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Data Warehouse SQL Data Warehouse is also a cloud-based data warehouse that uses Massively Parallel Processing (MPP) to run complex queries across petabytes of data rapidly. Import big […].

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Analytics Vidhya

JANUARY 7, 2022

By their definition, the types of data it stores and how it can be accessible to users differ. This article will discuss some of the features and applications of data warehouses, data marts, and data […]. The post Data Warehouses, Data Marts and Data Lakes appeared first on Analytics Vidhya.

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Data Warehouse Data Lakes Data Mining Data Mining 360

KDnuggets

OCTOBER 30, 2023

A comparative overview of data warehouses, data lakes, and data marts to help you make informed decisions on data storage solutions for your data architecture.

Data Lakes 299

Data Lakes Data Warehouse Data Engineering Data Engineer 299

Analytics Vidhya

SEPTEMBER 1, 2021

This article was published as a part of the Data Science Blogathon A data scientist’s ability to extract value from data is closely related to how well-developed a company’s data storage and processing infrastructure is.

ETL 209

ETL Data Engineering Data Engineer Data Engineering 209

Data Science Connect

JANUARY 27, 2023

Data engineering is a crucial field that plays a vital role in the data pipeline of any organization. It is the process of collecting, storing, managing, and analyzing large amounts of data, and data engineers are responsible for designing and implementing the systems and infrastructure that make this possible.

Data Engineering 130

Data Engineering Data Engineer Data Engineering Data Engineering 130

Analytics Vidhya

AUGUST 3, 2022

Data and analytics have become critical for firms to remain competitive. The post Most Frequently Asked Data Warehouse Interview Questions appeared first on Analytics Vidhya. Reports, dashboards, and analytics tools are used by business users to derive insights […].

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Data Warehouse Data Science Analytics Analytics 337

Analytics Vidhya

OCTOBER 28, 2022

Data collection is critical for businesses to make informed decisions, understand customers’ […]. The post Data Lake or Data Warehouse- Which is Better? We can use it to represent facts, figures, and other information that we can use to make decisions. appeared first on Analytics Vidhya.

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Data Lakes Data Warehouse Data Science Analytics 321

Analytics Vidhya

JUNE 6, 2022

Wouldn’t the process be much easier if the raw data were more organized and clean? Here’s when Data […]. The post What are Schemas in Data Warehouse Modeling? It’s possible, of course, but it can be tiresome and not be as accurate as it should be. appeared first on Analytics Vidhya.

Data Warehouse 308

Data Warehouse Data Science Analytics Analytics 308

Analytics Vidhya

JUNE 20, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Data warehouse generalizes and mingles data in multidimensional space. The post How to Build a Data Warehouse Using PostgreSQL in Python? appeared first on Analytics Vidhya.

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Data Warehouse Python Data Science Analytics 354

Analytics Vidhya

FEBRUARY 21, 2023

This is where data warehousing is a critical component of any business, allowing companies to store and manage vast amounts of data. It provides the necessary foundation for businesses to […] The post Understanding the Basics of Data Warehouse and its Structure appeared first on Analytics Vidhya.

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Data Warehouse Analytics Analytics Azure 234

Analytics Vidhya

JULY 6, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction A Data Warehouse is Built by combining data from multiple. The post A Brief Introduction to the Concept of Data Warehouse appeared first on Analytics Vidhya.

Data Warehouse 298

Data Warehouse Data Science Analytics Analytics 298

Analytics Vidhya

FEBRUARY 2, 2023

Now, businesses are looking for different types of data storage to store and manage their data effectively. Organizations can collect millions of data, but if they’re lacking in storing that data, those efforts […] The post A Comprehensive Guide to Data Lake vs. Data Warehouse appeared first on Analytics Vidhya.

Data Warehouse 230

Data Warehouse Data Lakes Analytics Analytics 230

Analytics Vidhya

OCTOBER 21, 2020

Overview Understand the meaning of data lake and data warehouse We will see what are the key differences between Data Warehouse and Data Lake. The post What are the differences between Data Lake and Data Warehouse? appeared first on Analytics Vidhya.

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Data Lakes Data Warehouse Analytics Analytics 314

insideBIGDATA

APRIL 6, 2023

In this contributed article, data engineer Koushik Nandiraju discusses how a predictive data and analytics platform aligned with business objectives is no longer an option but a necessity.

Predictive Analytics 367

Predictive Analytics Analytics Analytics Data Warehouse 367

Pickl AI

APRIL 6, 2023

Accordingly, one of the most demanding roles is that of Azure Data Engineer Jobs that you might be interested in. The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. How to Become an Azure Data Engineer?

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Azure Data Engineering Data Engineer Data Engineering 52

ODSC - Open Data Science

JANUARY 18, 2024

Data engineering is a rapidly growing field, and there is a high demand for skilled data engineers. If you are a data scientist, you may be wondering if you can transition into data engineering. In this blog post, we will discuss how you can become a data engineer if you are a data scientist.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

FEBRUARY 6, 2024

Data engineering has become an integral part of the modern tech landscape, driving advancements and efficiencies across industries. So let’s explore the world of open-source tools for data engineers, shedding light on how these resources are shaping the future of data handling, processing, and visualization.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

AUGUST 1, 2023

Aspiring and experienced Data Engineers alike can benefit from a curated list of books covering essential concepts and practical techniques. These 10 Best Data Engineering Books for beginners encompass a range of topics, from foundational principles to advanced data processing methods. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Analytics Vidhya

JULY 18, 2022

This article was published as a part of the Data Science Blogathon. Introduction Organizations with a separate transactional database and data warehouse typically have many data engineering activities. For example, they extract, transform and load data from various sources into their data warehouse.

ETL 259

ETL Data Warehouse Data Engineering Data Engineer 259

Analytics Vidhya

APRIL 29, 2022

Different organizations make use of different databases like an oracle database storing transactional data, MySQL for storing product data, and many others for different tasks. storing the data […]. The post Beginners Guide to Data Warehouse Using Hive Query Language appeared first on Analytics Vidhya.

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Data Warehouse Database Data Science Analytics 206

Analytics Vidhya

MAY 30, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Different components in the Hadoop Framework Introduction Hadoop is. The post HIVE – A DATA WAREHOUSE IN HADOOP FRAMEWORK appeared first on Analytics Vidhya.

Hadoop 238

Hadoop Data Warehouse Data Science Analytics 238

Analytics Vidhya

JUNE 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hive is a popular data warehouse built on top of Hadoop that is used by companies like Walmart, Tiktok, and AT&T. It is an important technology for data engineers to learn and master.

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Hadoop Data Warehouse Data Engineering Data Engineer 244

KDnuggets

DECEMBER 2, 2022

Join JetBlue on 12/8 10AM PT to learn how their data engineering team achieves end-to-end coverage in their Snowflake data warehouse with the power of Monte Carlo and data observability.

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Data Warehouse Data Observability Data Engineering Data Engineer 199

Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Read more to know.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Analytics Vidhya

JULY 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction We are all pretty much familiar with the common modern cloud data warehouse model, which essentially provides a platform comprising a data lake (based on a cloud storage account such as Azure Data Lake Storage Gen2) AND a data warehouse compute engine […].

Azure 358

Azure Data Warehouse Data Lakes Analytics 358

Analytics Vidhya

FEBRUARY 6, 2023

Introduction The demand for data to feed machine learning models, data science research, and time-sensitive insights is higher than ever thus, processing the data becomes complex. To make these processes efficient, data pipelines are necessary.

Data Pipeline 251

Data Pipeline Data Engineering Data Engineer Data Engineering 251

Alation

JANUARY 26, 2023

Governance can — and should — be the responsibility of every data user, though how that’s achieved will depend on the role within the organization. This article will focus on how data engineers can improve their approach to data governance. How can data engineers address these challenges directly?

Data Governance 52

Data Governance Data Engineering Data Engineer Data Engineering 52

Flipboard

JULY 11, 2023

The decentralized data warehouse startup Space and Time Labs Inc. said today it has integrated with OpenAI LP’s chatbot technology to enable developers, analysts and data engineers to query their

Data Warehouse 84

Data Warehouse Data Engineering Data Engineer Data Engineering 84

Analytics Vidhya

DECEMBER 26, 2022

This article was published as a part of the Data Science Blogathon. Overview ETL (Extract, Transform, and Load) is a very common technique in data engineering. It involves extracting the operational data from various sources, transforming it into a format suitable for business needs, and loading it into data storage systems.

ETL 249

ETL AWS Data Engineering Data Engineer 249

Analytics Vidhya

SEPTEMBER 27, 2022

Businesses have adopted Snowflake as migration from on-premise enterprise data warehouses (such as Teradata) or a more flexibly scalable and easier-to-manage alternative to […]. The post Data Warehousing with Snowflake and Other Alternatives appeared first on Analytics Vidhya.

Data Warehouse 357

Data Warehouse Data Science Analytics Analytics 357

Data Science Blog

MAY 15, 2023

tl;dr Ein Data Lakehouse ist eine moderne Datenarchitektur, die die Vorteile eines Data Lake und eines Data Warehouse kombiniert. Organisationen können je nach ihren spezifischen Bedürfnissen und Anforderungen zwischen einem Data Warehouse und einem Data Lakehouse wählen.

Data Warehouse 147

Data Warehouse Data Lakes Azure AWS 147

Analytics Vidhya

MAY 10, 2022

This article was published as a part of the Data Science Blogathon. Data Engineers, I am sure this simple article will help you guys better understand Cosmos DB from Azure with nice features. Recently many customers have been looking forward to implementing the Data Migration into Cosmos DB. Before getting […].

Azure 259

Azure Data Engineering Data Engineer Data Engineering 259

Analytics Vidhya

JANUARY 6, 2022

INTRODUCTION Hive is one of the most popular data warehouse systems in the industry for data storage, and to store this data Hive uses tables. By default, it is /user/hive/warehouse directory. Tables in the hive are analogous to tables in a relational database management system. For instance, […].

Data Warehouse 313

Data Warehouse Database Analytics Analytics 313

Analytics Vidhya

JANUARY 11, 2023

Introduction Amazon Elastic MapReduce (EMR) is a fully managed service that makes it easy to process large amounts of data using the popular open-source framework Apache Hadoop. EMR enables you to run petabyte-scale data warehouses and analytics workloads using the Apache Spark, Presto, and Hadoop ecosystems.

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Apache Hadoop Hadoop Data Warehouse Analytics 295